TTPlib 2008 – A Library For Train Timetabling
Problems
Author(s)
B. Erol, M.Klemenz, T. Schlechte, S. Schultz & A. Tanner
Abstract
We introduce (TTPlib), a data library for train timetabling problems that can be
accessed at http://ttplib.zib.de. In version 1.0, the library contains data related to
more than 100 scenarios. Most instances result from the combination of macroscopic
railway networks and several train request sets for the German long distance
area containing Hanover, Kassel and Fulda, short denoted by HA-KA-FU. In this
paper, we introduce the data concepts of TTPlib, describe the scenarios included
in the library and provide a free visualization tool TraVis.
Keywords: train timetabling problem, data library, optimization.
1 Introduction
Mathematical optimization has greatly advanced many planning procedures in railway
industry, like public transport network design, vehicle routing and dispatching
or crew scheduling – however, the problem of computing new timetables from
scratch is still unsolved. It is computationally not too difficult to verify that a given
timetable is implementable, or to extend a given timetable incrementally by additional
trains, but the computation of a timetable that is optimal in some mathematically
well-defined sense is provably hard.
For similar problems of mathematical optimization, the establishment of standard
models and standard problem libraries have contributed to the success in
problem solving. Such libraries exists for the famous Traveling Salesman Problem,
Keywords
train timetabling problem, data library, optimization.
Related Book
Other papers in this volume
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